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Senior Data Scientist, Marketing Experimentation

Fractal

Fremont · On-site Full-time Senior $120k – $175k/yr 5d ago

About the role

Senior Data Scientist, Marketing Experimentation

Fractal is a strategic AI partner to Fortune 500 companies with a vision to empower human decisions throughout enterprises. We are creating a world where freedom, diversity, and individual choices are the core assets. As part of our mission, we intend to foster human imagination at the heart of every decision, believing in a culture where possibilities are continually explored and improved. Fractal has earned recognition as a Great Place to Work and has been identified as a Cool Vendor and a Vendor to Watch by Gartner.

If you are enthusiastic about the fusion of marketing, data science, and experimentation, and thrive on the opportunity to influence a leading brand's data‑driven decisions at scale, we encourage you to apply.

Key Qualifications

  • Expertise in experimentation design and statistical hypothesis testing including sample size determination, power analysis, confidence intervals, p‑values, and multiple testing corrections.
  • Strong command of advanced statistical methods like sequential testing, variance reduction techniques, and Bayesian inference.
  • Experience with dynamic optimization methods such as Multi‑Armed Bandits in marketing contexts.
  • Proficiency in causal inference methods and data querying (SQL) alongside fluency in Python or R for statistical analysis and automation.
  • Excellent communication skills to translate complex statistical concepts into actionable insights for diverse stakeholders.
  • Ability to effectively manage multiple experimentation projects while maintaining high attention to detail.
  • A collaborative team player eager to enhance statistical rigor within cross‑functional teams.

Highly Beneficial (but not required)

  • Experience in executing multi‑geo tests and managing localization across global markets.
  • Familiarity with experimentation platforms such as Adobe Target or Optimizely.
  • Experience applying ML algorithms to marketing measurement or audience segmentation problems.
  • Background in marketing analytics or media measurement.

Description

Your core responsibilities will encompass the following pillars:

  • Experiment Design & Analysis: Lead the statistical design and analysis of A/B tests across various marketing channels, developing test proposals with defined populations, KPIs, and recommendations that enable confident decision‑making.
  • Stats Engine Methodology & Platform: Act as the owner of statistical methods for the Stats Engine, ensuring accurate and rigorous automated calculations while collaborating with engineering teams to translate methodological needs into platform features.
  • Research & Development: Work alongside Data Scientists across multiple domains to enhance the experimentation program, introducing new statistical techniques to elevate analytical capabilities and promote best practices across teams.

Education & Experience

  • Bachelor's degree in a quantitative field. A Master's or PhD is strongly preferred.
  • 7‑10 years of relevant experience in experimentation, data science, or analytics, with a minimum of 3 years in marketing analytics.

Pay

The salary range for this position is $120,000 – $175,000, depending on experience and qualifications, with eligibility for a discretionary bonus.

Benefits

Full‑time employees are eligible for health, dental, vision, life insurance, and disability plans, alongside a 401(k) Plan and generous PTO policies, including 11 paid holidays and 12 weeks of parental leave.

Fractal is an equal opportunity employer, committed to prohibiting discrimination of any kind.

Requirements

  • Expertise in experimentation design and statistical hypothesis testing including sample size determination, power analysis, confidence intervals, p-values, and multiple testing corrections.
  • Strong command of advanced statistical methods like sequential testing, variance reduction techniques, and Bayesian inference.
  • Experience with dynamic optimization methods such as Multi-Armed Bandits in marketing contexts.
  • Proficiency in causal inference methods and data querying (SQL) alongside fluency in Python or R for statistical analysis and automation.
  • Excellent communication skills to translate complex statistical concepts into actionable insights for diverse stakeholders.
  • Ability to effectively manage multiple experimentation projects while maintaining high attention to detail.
  • A collaborative team player eager to enhance statistical rigor within cross-functional teams.

Responsibilities

  • Lead the statistical design and analysis of A/B tests across various marketing channels, developing test proposals with defined populations, KPIs, and recommendations that enable confident decision-making.
  • Act as the owner of statistical methods for the Stats Engine, ensuring accurate and rigorous automated calculations while collaborating with engineering teams to translate methodological needs into platform features.
  • Work alongside Data Scientists across multiple domains to enhance the experimentation program, introducing new statistical techniques to elevate analytical capabilities and promote best practices across teams.

Benefits

health insurancedental insurancevision insurancelife insurancedisability insurance401(k) Plangenerous PTO policies11 paid holidays12 weeks of parental leave

Skills

Bayesian inferenceCausal inferenceMulti-Armed BanditsPythonRSQLSequential testingStatistical hypothesis testingVariance reduction techniques

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